Hortonworks HDP Developer: Enterprise Spark I

This course is designed as an entry point for developers who need to create applications to analyze Big Data stored in Apache Hadoop using Spark. Topics include: An overview of the Hortonworks Data Platform (HDP), including HDFS and YARN; using Spark Core APIs for interactive data exploration; Spark SQL and DataFrame operations; Spark Streaming and DStream operations; data visualization, reporting, and collaboration; performance monitoring and tuning; building and deploying Spark applications; and an introduction to the Spark Machine Learning Library.

AUDIENCE

Students should be familiar with programming principles and have previous experience in software development using either Python or Scala. Previous experience with data streaming, SQL, and HDP is also helpful, but not required.

PREREQUISITES

Students should be familiar with programming principles and have previous experience in software development. Experience with Linux and a basic understanding of DataFlow tools would be helpful. No prior Hadoop experience required, but is very helpful.

Is there a discount available for current students?

UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Online courses are excluded from this offer.

What is the cancellation and refund policy?

Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.